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Zeller, T.* ; Schurmann, C.* ; Schramm, K. ; Müller, C.* ; Kwon, S.Y.* ; Wild, P.S.* ; Teumer, A.* ; Herrington, D.* ; Schillert, A.* ; Iacoviello, L.* ; Kratzer, A.* ; Jagodzinski, A.* ; Karakas, M.* ; Ding, J.* ; Neumann, J.T.* ; Kuulasmaa, K.* ; Gieger, C. ; Kacprowski, T.* ; Schnabel, R.B.* ; Roden, M.* ; Wahl, S. ; Rotter, J.I.* ; Ojeda, F.* ; Carstensen-Kirberg, M.* ; Tregouet, D.A.* ; Dörr, M.* ; Meitinger, T. ; Lackner, K.J.* ; Wolf, P.A.* ; Felix, S.B.* ; Landmesser, U.* ; Costanzo, S.* ; Ziegler, A.* ; Liu, Y.* ; Völker, U.* ; Palmas, W.* ; Prokisch, H. ; Guo, X.* ; Herder, C.* ; Blankenberg, S.* ; Homuth, G.*

Transcriptome-wide analysis identifies novel associations with blood pressure.

Hypertension 70, 713-750 (2017)
Verlagsversion Forschungsdaten DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Hypertension represents a major cardiovascular risk factor. The pathophysiology of increased blood pressure (BP) is not yet completely understood. Transcriptome profiling offers possibilities to uncover genetics effects on BP. Based on 2 populations including 2549 individuals, a meta-analyses of monocytic transcriptome-wide profiles were performed to identify transcripts associated with BP. Replication was performed in 2 independent studies of whole-blood transcriptome data including 1990 individuals. For identified candidate genes, a direct link between long-term changes in BP and gene expression over time and by treatment with BP-lowering therapy was assessed. The predictive value of protein levels encoded by candidate genes for subsequent cardiovascular disease was investigated. Eight transcripts (CRIP1, MYADM, TIPARP, TSC22D3, CEBPA, F12, LMNA, and TPPP3) were identified jointly accounting for up to 13% (95% confidence interval, 8.7-16.2) of BP variability. Changes in CRIP1, MYADM, TIPARP, LMNA, TSC22D3, CEBPA, and TPPP3 expression associated with BP changes-among these, CRIP1 gene expression was additionally correlated to measures of cardiac hypertrophy. Assessment of circulating CRIP1 (cystein-rich protein 1) levels as biomarkers showed a strong association with increased risk for incident stroke (hazard ratio, 1.06; 95% confidence interval, 1.03-1.09; P=5.0×10(-5)). Our comprehensive analysis of global gene expression highlights 8 novel transcripts significantly associated with BP, providing a link between gene expression and BP. Translational approaches further established evidence for the potential use of CRIP1 as emerging disease-related biomarker.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Blood Pressure ; Gene Expression ; Genome-wide Association Study ; Hypertension ; Transcriptome; Chronic Kidney-disease; Cardiovascular-disease; Gene-expression; Common Variants; Binding-protein; Hypertension; Loci; Risk; Metaanalysis; Individuals
Sprache englisch
Veröffentlichungsjahr 2017
HGF-Berichtsjahr 2017
ISSN (print) / ISBN 0194-911x
e-ISSN 1524-4563
Zeitschrift Hypertension
Quellenangaben Band: 70, Heft: 4, Seiten: 713-750 Artikelnummer: , Supplement: ,
Verlag Lippincott Williams & Wilkins
Verlagsort Philadelphia
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Human Genetics (IHG)
Institute of Epidemiology (EPI)
POF Topic(s) 30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
30202 - Environmental Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-500700-001
G-504091-004
DOI 10.1161/HYPERTENSIONAHA.117.09458
WOS ID WOS:000410486300017
Scopus ID 85030611451
PubMed ID 28784648
Erfassungsdatum 2017-09-13
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